Compare IBM solidDB vs. Teradata

IBM solidDB is ranked 28th in Relational Databases while Teradata is ranked 6th in Relational Databases with 3 reviews. IBM solidDB is rated 0, while Teradata is rated 8.0. On the other hand, the top reviewer of Teradata writes "It is stable but it should be more cloud-friendly and scalability is poor". IBM solidDB is most compared with SQL Server, MySQL, IBM Db2 Database and MariaDB, whereas Teradata is most compared with SQL Server, Oracle Exadata, Amazon Redshift, Snowflake and Apache Hadoop.
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IBM solidDB Logo
496 views|291 comparisons
Teradata Logo
22,093 views|16,475 comparisons
Most Helpful Review
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Quotes From Members

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Pricing and Cost Advice
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The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space.

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Ranking
28th
Views
496
Comparisons
291
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
6th
Views
22,093
Comparisons
16,475
Reviews
3
Average Words per Review
159
Avg. Rating
8.0
Popular Comparisons
Compared 37% of the time.
Compared 28% of the time.
Compared 18% of the time.
Compared 17% of the time.
Compared 19% of the time.
Compared 17% of the time.
Compared 11% of the time.
Compared 11% of the time.
Compared 6% of the time.
Also Known As
solidDB
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IBM
Teradata
Overview

IBM solidDB is a relational database server that combines the high performance of in-memory tables with the nearly unlimited capacity of disk-based tables.

Pure in-memory databases are fast, but strictly limited by the size of memory. Pure disk-based databases allow nearly unlimited amounts of storage, but their performance is dominated by disk access. Even if the computer has enough memory to store the entire database in memory buffers, database servers that are designed for disk-based tables can be slow because the data structures that are optimal for disk-based tables are far from being optimal for in-memory tables. The solidDB solution is to provide a single hybrid database server that contains two optimized engines inside it:

  • The main-memory engine (MME) is optimized for in-memory access.
  • The disk-based engine (DBE) is optimized for disk-based access.

Both engines coexist inside the same server process, and a single SQL statement can access data from both engines.

Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.

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Sample Customers
IskratelNetflix
Top Industries
No Data Available
REVIEWERS
Comms Service Provider38%
Energy/Utilities Company13%
Financial Services Firm13%
Logistics Company13%
VISITORS READING REVIEWS
Computer Software Company48%
Media Company9%
Comms Service Provider9%
Financial Services Firm5%
Find out what your peers are saying about Microsoft, Oracle, IBM and others in Relational Databases. Updated: July 2020.
430,905 professionals have used our research since 2012.

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